{"id":"W4281918014","doi":"10.1109/noms54207.2022.9789847","title":"Dynamic Local Community Detection Algorithms","year":2022,"lang":"en","type":"article","venue":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Community structure; Local community; Algorithm; Social network (sociolinguistics); Evolving networks; Complex network; Data mining; Machine learning; Social media; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008580927,0.0003303843,0.0003402714,0.0002149262,0.00376154,0.0002235363,0.000454331,0.00003901436,0.00116174],"category_scores_gemma":[5.829099e-7,0.0003767522,0.0001786063,0.0009705323,0.0001112978,0.0002162597,0.0008438331,0.0007874671,0.00001588725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209841,"about_ca_system_score_gemma":0.00002435544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009386964,"about_ca_topic_score_gemma":0.0005835298,"domain_scores_codex":[0.9975688,0.0005659211,0.000481478,0.000509528,0.0003702584,0.0005039687],"domain_scores_gemma":[0.9988981,0.000059972,0.0001141529,0.0007556371,0.00005388027,0.0001182498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005955346,0.0008796092,0.001597814,0.00004441996,0.001145985,0.00001447162,0.0007160931,0.8284038,0.00129553,0.02632408,0.02516913,0.1143495],"study_design_scores_gemma":[0.0008263201,0.0003041805,0.0009232681,0.00002208073,0.000487294,0.000008106471,0.003330736,0.8909679,0.0001368642,0.003394095,0.0988191,0.0007800459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05604143,0.0003761751,0.9218176,0.0007518876,0.001465777,0.001728498,0.0001217487,0.0004069741,0.01728988],"genre_scores_gemma":[0.9889315,0.0001977285,0.002650019,0.0003142322,0.0003715314,0.001371016,0.0005992471,0.00005560348,0.00550916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9328901,"threshold_uncertainty_score":0.9998685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007151134400385785,"score_gpt":0.2383714287419942,"score_spread":0.2312202943416084,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}